Defect review using image segmentation
a technology of image segmentation and defect review, applied in image enhancement, image data processing, instruments, etc., can solve the problems of disadvantageous aspects of conventional review sequences and inefficiencies
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first embodiment
[0025]FIG. 3 is a flow chart of a method 300 of defect analysis using image segmentation in accordance with the invention. This new approach does not require the capture of a reference image, nor does it require rendering of a simulated image.
[0026]An electron image of the area containing the previously-detected potential defect is obtained 302. In this technique 300, the field of view for the imaging may be configured to be sufficiently large such that the image may be segmented as discussed further below. Image segmentation involves dividing an imaged area into sub-areas or segments.
[0027]The image may then be aligned 304 to the computer aided design (CAD) layout of the integrated circuit. The alignment may be performed, for example, by locating a dominant edge in the image which is expected to be within the FOV based upon the design information.
[0028]A first segment or sub-area within the electron image is determined 306, where this first segment or sub-area includes the potentia...
second embodiment
[0035]FIG. 4 is a flow chart of a method 400 of defect analysis using image segmentation in accordance with the invention. This technique utilizes a relatively large field of view that includes both a local image segment at the potential defect and at least one reference image segment which is transformably-identical to the local image segment.
[0036]An electron image is obtained 402 with a relatively large field of view (FOV) in the vicinity of the previously-detected potential defect. The relatively large field of view is of a size which is substantially larger (for example, having an area 10 times to 100 times larger) than the margin of error of the previous defect detection. In other words, the relatively large field of view may be of an area size that is large enough to likely contain one or more transformably identical image segments as a local image segment containing the location of the potential defect. In other words, the relatively large field of view may be of an area siz...
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